Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and test innovative trading strategies using Python.
- Company: Dynamic financial trading firm in Greater London.
- Benefits: Competitive salary, bonuses, and opportunities for growth.
- Why this job: Dive into quantitative finance and make a real impact on trading strategies.
- Qualifications: Bachelor's degree in a relevant field and Python skills.
- Other info: Collaborative environment with exciting challenges and career advancement.
The predicted salary is between 120000 - 180000 £ per year.
A financial trading firm in Greater London seeks a research engineer to develop and test trading strategies using Python. The ideal candidate will contribute to building research infrastructure, explore novel market ideas, and collaborate with teammates. A Bachelor's degree in a relevant field is required.
With a competitive salary range of £150,000-250,000 plus bonuses, this role offers a great opportunity for those interested in quantitative finance and trading strategies.
Quant Research Engineer - Build & Test Trading Strategies in London employer: Ansatz Capital
Contact Detail:
Ansatz Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Research Engineer - Build & Test Trading Strategies in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and trading sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects related to trading strategies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on quantitative finance concepts and coding challenges. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Quant Research Engineer - Build & Test Trading Strategies in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've used it to develop and test trading strategies, so don’t hold back on those details!
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you get your key points across without any fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in quantitative finance.
How to prepare for a job interview at Ansatz Capital
✨Know Your Python Inside Out
Make sure you’re well-versed in Python, especially as it relates to developing and testing trading strategies. Brush up on libraries like NumPy and pandas, and be ready to discuss how you've used them in past projects.
✨Understand the Market
Familiarise yourself with current market trends and trading strategies. Be prepared to discuss novel ideas you’ve explored or implemented, showing your passion for quantitative finance and your ability to think outside the box.
✨Showcase Your Collaboration Skills
Since this role involves teamwork, think of examples where you’ve successfully collaborated with others. Highlight how you contributed to building research infrastructure or tackled challenges as part of a team.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their trading strategies, team dynamics, or future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.